Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


After completing this course,
- students will understand and deepen their knowledge of a range of modern spatial data science (SDS) techniques and methodologies
- students are able to apply SDS methodologies in practice to a range of sustainability/global change related topics with Python programming language
- students have skills and understanding how to retrieve, handle and analyze modern big geospatial data in different formats

Credits: 5

Schedule: 10.01.2022 - 18.02.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Henrikki Tenkanen

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    The course provides a deep insight to modern spatial data science methods which are applied to various topics/questions relating to sustainability and global change. The course covers techniques and modeling approaches for vector and raster data formats as well as for data presented using networks.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Assignments and final report

  • valid for whole curriculum period:

    Lectures (20 h), self-study (20 h), assignments (50 h), final report (45 h)


Study Material
  • valid for whole curriculum period:

    All the materials are distributed on a dedicated open access website with lecture notes, online programming tutorials and literature.

Substitutes for Courses


Further Information
  • valid for whole curriculum period:

    Teaching Period:

    2020-2021 Spring III / 2021-2022 Spring III

    Course Homepage:

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu ( instead of WebOodi.